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Course Curriculum | PGDM Program | AICTE approved
Check the course curriculum of PGDM Program. Know details of Year 1 core courses and 5 specialisations of Year 2.
#PGDMCurriculum#AICTEApprovedCurriculum#CoreCourses#Specializations#BusinessEducation#ManagementCourses
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the core transfer wasn't "surgery without consent" tho? it wasn't informed consent - jc didn't know he was getting *wwx's core* - but he did absolutely consent to getting a core from bsr and didn't ask/care how.
In order for consent to be valid you cannot have obtained that consent by lying to the patient about material facts which you know would change their yes to a no. This is not a subjective standard I personally happen to have invented; the idea that deceit can vitiate an agreement is well established in law, and I would argue is also a pretty standard part of most people’s moral codes. That’s why, for example, misrepresentation is grounds to void a contract; if you lied to me about what I was buying, then I didn’t really agree to the sale, because I’m not buying what I agreed to buy.
In a medical contex lying can undermine the patient’s consent both legally and ethically, and that is in my opinion a much more serious problem than a broken contract. In a modern context, a physician can be charged with assault or sued for battery when treatment goes beyond or deviates significantly from what the patient consented to. In order for consent to be valid, the patient must have been properly informed. If consent isn’t informed, it isn’t consent, because if you don’t understand what you’re agreeing to or if you think you’re agreeing to a different procedure then you are not consenting to the thing that is actually happening to you.
Jiang Cheng, as you said, consented to go up a magical mountain so BSSR could restore his core. He did not consent to a dangerous experimental procedure performed by Wen Qing, which had a 50% chance of failure and would, even in a best case scenario, permanently disable his brother. Where the core came from was very relevant to Jiang Cheng, which is why Wei Wuxian lied to him about that in the first place. He knew that Jiang Cheng would not want his core, and he wanted to give his core to Jiang Cheng anyway. He lied about the nature of the treatment and its likely outcome, which is, as you suggested, the heart of informed consent, but it was not a careless omission. It was a deliberate attempt to get him to agree to the core transfer under false pretences. It wouldn’t be valid consent even if it was an honest misunderstanding, but I think it’s pretty relevant to the question of how Jiang Cheng feels about the whole mess that it wasn’t.
Regardless, medical consent isn’t a gotcha where you can lie about what the treatment entails, who will be performing it, and what the possible adverse outcomes are and then turn around and say the the patient got the result they wanted and the only bad thing that happened was someone they loved being maimed so it’s fine. That’s not how any kind of consent works. You have to understand what you’re agreeing to in order to agree to it, and if someone deliberately lies to you in order to compromise that understanding, they are compromising your consent as well.
#Jiang Cheng#the untamed#this could be longer!#corecourse#I’m not a doctor and this is not my field but yeah#also standard disclaimer that I think Wei Wuxian did this because he was a scared kid who loved his brother and was terrified that he#was going to lose him#after he’d already lost almost everyone else#and been blamed for it#this is not me saying Wei Wuxian is bad#this is me saying what he did wasn’t cool#and it’s not unreasonable for Jiang Cheng to be upset about it
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[Intermediate] Spatial Data Analysis with R, QGIS & More
PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.
----------------------------------------------------------------------------------------------------------------
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.
----------------------------------------------------------------------------------------------------------------
This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.
This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily.
The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.
The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You’ll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.
This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.
This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.
It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.
During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources. Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.
FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!
I don’t have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!
Who this course is for:
People who have a basic understanding of spatial data analysis and want to learn more
Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
Academics
Conservation managers
GIS Technicians
[Intermediate] #Spatial Data #Analysis with R, #QGIS & More #udemy course now !!95% off! #coupon https://www.udemy.com/intermediate-spatial-data-analysis-with-r-qgis-more/?couponCode=CORECOURSE-STUDENTS
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[Intermediate] Spatial Data Analysis with R, QGIS & More
PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.
----------------------------------------------------------------------------------------------------------------
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.
----------------------------------------------------------------------------------------------------------------
This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.
This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily.
The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.
The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You’ll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.
This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.
This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.
It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.
During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources. Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.
FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!
I don’t have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!
Who this course is for:
People who have a basic understanding of spatial data analysis and want to learn more
Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
Academics
Conservation managers
GIS Technicians
[Intermediate] #Spatial Data #Analysis with R, #QGIS & More #udemy course now !! 95% off! #coupon https://www.udemy.com/intermediate-spatial-data-analysis-with-r-qgis-more/?couponCode=CORECOURSE-STUDENTS
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Text
[Intermediate] Spatial Data Analysis with R, QGIS & More
PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.
----------------------------------------------------------------------------------------------------------------
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.
----------------------------------------------------------------------------------------------------------------
This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.
This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily.
The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.
The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You’ll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.
This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.
This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.
It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.
During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources. Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.
FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!
I don’t have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!
Who this course is for:
People who have a basic understanding of spatial data analysis and want to learn more
Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
Academics
Conservation managers
GIS Technicians
[Intermediate] #Spatial Data #Analysis with R, #QGIS & More #udemy course now !!95% off! #coupon https://www.udemy.com/intermediate-spatial-data-analysis-with-r-qgis-more/?couponCode=CORECOURSE-STUDENTS
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about the corecourse, I feel that's another thing CQL changed to be a bit gentler on Jiang Cheng. in the novel, he's literally refusing to eat or drink until WWX tells him they might be able to get him his core back. besides being a case of informed consent or not, Jiang Cheng was actually trying to kill himself. and also refusing to move and fight, which was putting them all in danger, since they were still in Wen territory.
I don’t think it makes that much of a difference. There’s definitely an urgency to the situation, and the passage of time is a little ambiguous, but
to me it seems like this state lasts for the duration of one conversation. After this, Wei Wuxian makes dinner and tells him he can get his core back. It’s heartbreaking, and you can really see why this conversation might strengthen his resolve and convince him he’s doing the right thing, but he’s already left the Wens at this point, which means he’s also already come up with the core transplant plan and arranged to go through with it; like in CQL the decision is made while Jiang Cheng is paralyzed. Maybe if Jiang Cheng had woken up and been stoic and cheerful about his new life Wei Wuxian would have changed his mind, but it wasn’t something he did in a desperate attempt to get Jiang Cheng moving after days of trying to coax him into action, and he still decided to lie to him about it forever.
#jiang cheng#wei wuxian#mdzs#corecourse#the big difference is that jiang cheng is unconscious for basically all positive wen interactions#he knows they helped him#but he basically wakes up#has one conversation with wei wuxian#realizes where they are and starts yelling about how they can't trust the wen and it's not safe#is paralyzed by wen qing who is also like 'i won't turn you in immediately but you've got to get out soon and the brat stays unconscious so#people don't hear him screaming the walls down'#and doesn't have the needle taken out until they've left the supervisory office#the context of jiang cheng not wanting to help the wen is very different from the show#but then post yanli's death you get the siege in the burial mounds#so there's actually kind of a trade off in terms of what bad things jiang cheng does#anyway notably at no point does he ever accept their help and he in fact rejects it extremely loudly whenever he has the chance#which like- too late even before the core transfer wen ning rescued your parents bodies#but he really aggressively does not#want anything to do with them and considers them to be a part of the invading force which just wiped out his people#which tbf they technically are#clq!jiang cheng also rejects wen aid at that point#but he knows and likes the wens for all he's fucked up about them being wens#in the book#he doesn't know wen qing! and even if he did she's not in the universe being blackmailed into helping#her father was a cousin of wen ruohan's he was close to and she's extremely gifted and consequentially favoured in his court#a different vibe but tbh i still ship it
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[Intermediate] Spatial Data Analysis with R, QGIS & More
PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.
----------------------------------------------------------------------------------------------------------------
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.
----------------------------------------------------------------------------------------------------------------
This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.
This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily.
The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.
The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You’ll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.
This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.
This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.
It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.
During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources. Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.
FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!
I don’t have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!
Who this course is for:
People who have a basic understanding of spatial data analysis and want to learn more
Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
Academics
Conservation managers
GIS Technicians.
[Intermediate] #Spatial Data #Analysis with R, #QGIS & More #udemy course now !!95% off! #coupon https://www.udemy.com/intermediate-spatial-data-analysis-with-r-qgis-more/?couponCode=CORECOURSE-STUDENTS
0 notes
Text
[Intermediate] Spatial Data Analysis with R, QGIS & More
PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.
----------------------------------------------------------------------------------------------------------------
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.
----------------------------------------------------------------------------------------------------------------
This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.
This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily.
The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.
The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You’ll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.
This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.
This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.
It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.
During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources. Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.
FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!
I don’t have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!
Who this course is for:
People who have a basic understanding of spatial data analysis and want to learn more
Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
Academics
Conservation managers
GIS Technicians
[Intermediate] #Spatial Data #Analysis with R, #QGIS & More #udemy course now !!95% off! #coupon https://www.udemy.com/intermediate-spatial-data-analysis-with-r-qgis-more/?couponCode=CORECOURSE-STUDENTS
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Become an Open source GIS Guru and Tackle Spatial Data Analysis Using R, QGIS, GRASS & GOOGLE EARTH
PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.
—————————————————————————————————————-
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.
—————————————————————————————————————-
This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.
This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily.
The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.
The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You’ll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.
This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.
This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.
It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.
During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources. Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.
FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!
I don’t have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!
Who this course is for:
People who have a basic understanding of spatial data analysis and want to learn more
Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
Academics
Conservation managers
GIS Technicians
[Intermediate] #Spatial Data #Analysis with R, #QGIS & More #udemy course now !!95% off! #coupon https://www.udemy.com/intermediate-spatial-data-analysis-with-r-qgis-more/?couponCode=CORECOURSE-STUDENTS
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[Intermediate] Spatial Data Analysis with R, QGIS & More
PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.
----------------------------------------------------------------------------------------------------------------
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.
----------------------------------------------------------------------------------------------------------------
This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.
This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily.
The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.
The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You’ll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.
This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.
This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.
It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.
During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources. Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.
FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!
I don’t have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!
Who this course is for:
People who have a basic understanding of spatial data analysis and want to learn more
Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
Academics
Conservation managers
GIS Technicians.
[Intermediate] #Spatial Data #Analysis with R, #QGIS & More #udemy course now !!95% off! #coupon https://www.udemy.com/intermediate-spatial-data-analysis-with-r-qgis-more/?couponCode=CORECOURSE-STUDENTS
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